Overview
- This book makes a unique assessment and evaluation of the tricks for efficiently exploiting neural network techniques
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1524)
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Table of contents (18 chapters)
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Introduction
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Speeding Learning
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Regularization Techniques to Improve Generalization
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Improving Network Models and Algorithmic Tricks
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Representing and Incorporating Prior Knowledge in Neural Network Training
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Neural Networks: Tricks of the Trade
Editors: Genevieve B. Orr, Klaus-Robert Müller
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-49430-8
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1998
eBook ISBN: 978-3-540-49430-0Published: 31 July 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 432
Number of Illustrations: 137 b/w illustrations, 21 illustrations in colour
Topics: Computation by Abstract Devices, Artificial Intelligence, Processor Architectures, Pattern Recognition, Complexity